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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Journal of Education and Learning (EduLearn) PROGRES PENDIDIKAN TIERS Information Technology Journal Measurement In Educational Research MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA DEVOTE: Jurnal Pengabdian Masyarakat Global Journal of Artificial Intelligence and Digital Business
Wiradika, I Nyoman Indhi
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Journal : TIERS Information Technology Journal

 1 
Mobile-Based Decision Support System for Recommending Tourism Attraction Using MAGIQ-ARAS Methodology Mahendra, Gede Surya; Wiradika, I Nyoman Indhi
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i2.5655

Abstract

Tourism in Bali faces challenges such as overcrowding, poor management, and diverse visitor preferences, which hinder effective decision-making for tourist destinations. This study introduces an Android-based DSS using the MAGIQ-ARAS. The MAGIQ method simplifies the weighting process, while the ARAS method evaluates alternatives to produce utility-based rankings. Together, MAGIQ-ARAS provide a structured approach for generating tourist recommendations tailored to user preferences. The research follows a combination of the CRISP-DM framework for data preparation and the Waterfall Model for system development. Field studies, interviews, and literature reviews informed the design of a mobile application that integrates MAGIQ and ARAS. Black-box testing verified functionality, and accuracy testing using a confusion matrix evaluated the alignment between recommendations and user preferences. The results demonstrate the system's effectiveness, achieving 90% accuracy in matching recommendations with user preferences. Black-box testing confirmed that all features, including preference weighting and interactive navigation, operated as intended. The system simplifies MCDM and enhances user satisfaction through its efficient and user-friendly interface. The study concludes that the MAGIQ-ARAS-based mobile application offers a reliable solution for tourist recommendations. Future work should explore real-time data integration and expand application to other tourism regions to enhance adaptability and usability.
Co-Authors Adem, Angela Merici Agus Adiarta,ST,MT . Al Hadi, Rizky Khairunnisa Andayani, Made Susi Lissia Artawan, I.K Budiarta, I Nengah Edi Candrapinasthy, Ni Putu Geg Mas Widya Dewa Gede Hendra Divayana, Dewa Gede Hendra Gede Surya Mahendra Heri Retnawati I Dewa Agung Gde Fanji Pradiptha I Gede Bendesa Subawa I Gusti Agung Michael Swisnandya I Putu Wisna Ariawan Kadek Yota Ernanda Aryanto Lestari, Novia Ayu Maheswara, I Wayan Yoni Mertayasa, I Nengah Eka Narendra, Hasto Arief Nyoman Santiyadnya P. WAYAN ARTA SUYASA Paramitha, Putu Ananda Pradnya Sangging, I Putu Indra Santika Wiguna, I Kadek Arta Yusron, Eri